





'''simple docstring'''







import pytest

from datasets import inspect_metric, list_metrics, load_metric






@pytest.fixture
def 					_lowerCamelCase							(					lowercase		: Any		)      ->      Union[str, Any]:
				monkeypatch.setattr("datasets.utils.deprecation_utils._emitted_deprecation_warnings"       ,				set()		)






@pytest.fixture
def 					_lowerCamelCase							(					lowercase		: Tuple		)      ->      int:
				class 							__SCREAMING_SNAKE_CASE    :






								"""simple docstring"""







								def __init__(    self	:   List[str]   ,							__a	:   List[Any]   ):
												_a				      =					metric_id


				class 							__SCREAMING_SNAKE_CASE    :






								"""simple docstring"""







								__a  =[MetricMock(_UpperCAmelCase ) for metric_id in ['accuracy', 'mse', 'precision', 'codeparrot/apps_metric']]




								def     UpperCamelCase__  (    self	:   List[str]   ):
												return self._metrics


				monkeypatch.setattr("datasets.inspect.huggingface_hub"       ,				HfhMock()		)






@pytest.mark.parametrize(
    "func, args"       ,				[(load_metric, ("metrics/mse",)), (list_metrics, ()), (inspect_metric, ("metrics/mse", "tmp_path"))]		)
def 					_lowerCamelCase							(					lowercase		: Optional[int]       ,				lowercase		: Optional[int]       ,				lowercase		: Optional[Any]       ,				lowercase		: int       ,				lowercase		: str		)      ->      Any:




				if "tmp_path" in args:
								_a				      =					tuple(arg if arg != "tmp_path" else tmp_path for arg in args		)
				with pytest.warns(lowercase       ,				match="https://huggingface.co/docs/evaluate"		):
								func(*lowercase		)







"""simple docstring"""





from math import log

from scipy.constants import Boltzmann, physical_constants

SCREAMING_SNAKE_CASE__   =  300  # TEMPERATURE (unit = K)


def      UpperCAmelCase__				(    SCREAMING_SNAKE_CASE	:		float				,		SCREAMING_SNAKE_CASE	:		float				,		SCREAMING_SNAKE_CASE	:		float				,		):







      '''simple docstring'''




      if donor_conc <= 0:
            raise ValueError("""Donor concentration should be positive"""     )
      elif acceptor_conc <= 0:
            raise ValueError("""Acceptor concentration should be positive"""     )
      elif intrinsic_conc <= 0:
            raise ValueError("""Intrinsic concentration should be positive"""     )
      elif donor_conc <= intrinsic_conc:
            raise ValueError(
                """Donor concentration should be greater than intrinsic concentration"""     )
      elif acceptor_conc <= intrinsic_conc:
            raise ValueError(
                """Acceptor concentration should be greater than intrinsic concentration"""     )
      else:
            return (
                Boltzmann
                * T
                * log((donor_conc * acceptor_conc) / intrinsic_conc**2     )
                / physical_constants["electron volt"][0]
            )


if __name__ == "__main__":
       import doctest

       doctest.testmod()






